Top Data Jobs in Toronto

Architect and build core distributed systems for high-throughput real-time and batch data ingestion, processing, and storage. Ensure fault-tolerance, scalability, and strong query performance for time-series and spatial data. Develop automated tooling for data quality and lineage, collaborate on reusable abstractions, and write production-ready code (Java/Python).

Lead design and implementation of a scalable data platform handling petabytes of telematics and time-series data. Build and optimize streaming and batch pipelines, design storage solutions, implement observability and data lineage, manage HA infrastructure, and write maintainable Java/Python code while shaping long-term architectural strategy.

Lead design and implementation of scalable data models, ETL/ELT pipelines and migrations to Snowflake/Databricks. Optimize data workflows, ensure data quality and governance, support analytics reporting, and provide technical leadership to junior engineers while collaborating with stakeholders to deliver data-driven solutions.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing infrastructure.

The Senior Network Engineer will manage and optimize in-house and cloud-based networks, ensuring security and availability while troubleshooting complex network issues.

Lead governance, maintenance, and enhancement of Anaplan and finance data processes. Ensure month/quarter close data integrity, support budgeting/forecast cycles, deliver reporting and ad hoc financial analysis, drive process improvement and automation, and manage a team of reporting/data resources while partnering across Finance, Technology, Data, and Risk stakeholders.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Design, build, and maintain scalable data pipelines and tenant-aware APIs to ingest and transform data from ad platforms, order systems, and real-time events. Ensure reliability, observability, and maintainability across event-driven and batch architectures, implement authentication flows, optimize data workflows in a cloud-native environment, and collaborate with product, infrastructure, and data teams to onboard new sources.

Data Contributors will research startups, analyze global data for StartupBlink's Global Startup Ecosystem Index, and compile accurate information for publication.

Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.

Manage technical data for IP Routing hardware NPI programs: support NPI from data entry through factory implementation, maintain product data and Engineering Change Orders across the product lifecycle, and coordinate with engineering, supply chain, and manufacturing to ensure accurate PLM/PDM records and implementation.

Lead design and implementation of Jane's customer data infrastructure: own event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Work cross-functionally with marketing, BI, product, and engineering to set standards, evaluate tooling (e.g., RudderStack), ensure privacy-compliant instrumentation, and build reliable, consistent data delivery to the warehouse.

Lead a distributed team of data scientists and engineers, focusing on data infrastructure and ML systems while collaborating with product and marketing teams.

Design, build and optimize BI assets (QuickSight dashboards, semantic data models) on SQL datasets. Develop and maintain data pipelines, perform SQL tuning, ensure data quality and governance, and support the web presentation layer. Collaborate with business partners to deliver accurate, performant, secure reporting and analytics.

Analyze, extract, clean, and model large datasets from multiple systems; build data warehouses and predictive models; create financial analyses, dashboards, and client reporting; implement and monitor models with client teams; support client relationships and contribute to proposals and marketing as needed.

Perform end-to-end BI and data analytics work: extract and transform large datasets, build data warehouses and predictive models, create dashboards and reporting, manage client relationships, oversee analysts, and contribute to proposals and marketing as needed.

Design, build, and manage Northland's Azure-based enterprise data platform. Lead data architecture, develop scalable ETL/ELT pipelines, model enterprise data, ensure data quality and governance, deliver self-service data marts and Power BI datasets, and provide technical leadership to support analytics and AI initiatives.

As a Data Analyst, you will support data migration initiatives by analyzing data structures, mapping source to target systems, and collaborating with stakeholders to document requirements and findings.

The Data Operations Specialist will manage data operations, ensuring quality data services and compliance, while optimizing data workflows and conducting audits.

Seeking a Senior Data Scientist to lead data science initiatives, drive machine learning strategies, implement data solutions, and collaborate with cross-functional teams to enhance programmatic efficiency.

The Account Executive will develop business with enterprise customers, manage sales processes, maintain customer relationships, and present proposals while driving revenue with strategic customers across various regions.

Lead and/or staff-level technical roles to design, build, and operate petabyte-scale batch and streaming data pipelines, APIs, and analytical platforms. Responsibilities include platform architecture, data modeling, query and API design, reliability, observability, performance optimization, cross-team coordination, and mentoring engineers through a transformation to workload-aware, near real-time data systems.

The Manager of Data Management leads a team, oversees data processes, ensures data integrity, collaborates with IT, and supports compliance for the organization's data management systems.

As a Data Engineer, you will design and implement solutions for data integration and manage data quality, while collaborating with various teams for optimal data usage and decision-making.